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Job Record #16771
TitlePh.D. Positions in Modeling, Computation, and Control
CategoryJob in Academia
EmployerUniversity of South Carolina
LocationUnited States, SC, Columbia
InternationalYes, international applications are welcome
Closure DateThursday, July 01, 2021
Several PhD positions and full graduate research assistantship (GRA) in 
Mechanical Engineering are available in Spring 2021 and Fall 2021 within the 
research group of Dr. Yi Wang at the University of South Carolina-USC 
(Columbia/Main campus, 

1.	Reduced Order Modeling, Machine Learning, and Design Optimization 
for Multiphysics Engineering Systems 
We will investigate and develop reduced order modeling, machine learning, 
and design optimization methods for multiphysics systems for a variety of 
engineering applications, which include but not limited to thermal-fluidics, 
aerospace and aeroservoelasticity, energy materials and management, additive 
manufacturing, and microfluidics & nanofluidics. 

2.	Real-time Computing and Control on Edge Computing
We will investigate and develop real-time control framework, algorithms, and 
cyberphysical systems for a variety of engineering applications on edge 
computing platforms, which include but not limited to energy auditing & 
cybersecurity, multi-fidelity model optimization, and autonomous systems 
(real-time fault detection & mitigation, path planning, and control).

Research efforts will include at least one of the followings
•	Development of reduced order models for multiphysics engineering 
•	Development of data mining, machine learning, and optimization 
•	Development of CPU+GPU computing algorithms
•	Development of control framework for various robotic platforms

At least one of the qualifications below is preferred: 
•	Strong background in control theory, linear algebra, and 
computational mathematics and/or mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM) 
•	Hands-on experience with computing in Matlab, C/C++, Python, or 
other object-oriented programming languages
•	Hands-on experience with embedded system and edge-computing modules, 
such as Jetson TX series, Intel NUC, Raspberry Pi, and Arduino. 
•	Strong interest and self-motivation to perform cutting-edge research 
and conquer challenges in real-world engineering and to publish high-impact 

USC is the flagship university in the State of South Carolina, and the Ph.D. 
program at the department of Mechanical Engineering is ranked No. 31 
nationally by the National Research Council (NRC) 
(, and the College of Engineering and Computing 
is ranked No. 1 in the State of South Carolina for faculty research 

The group of Dr. Wang focuses on computational and data-enabled science and 
engineering (CDS&E) and its applications in real-world multiphysics systems, 
including micro/nanofluidics, energy management, additive manufacturing, 
aerodynamics & aerospace. CDS&E, recently emerging as a focal point of 
multidisciplinary research has been applied to essentially each phase of 
technology development and industrial engineering, from conceptualization, 
virtual prototyping and design, and automation and control, to final 
verification and validation (V&V). Our group aims to discover and develop 
new methodologies, framework, and capabilities to bridge CDS&E and system 
engineering in the real world and with particular emphasis on multiphysics 
and engineering intelligence. To apply, please send your CV/Resume, 
publications, etc. in a single PDF (for Ph.D. applicants, transcripts, and 
GRE scores are also required) to Dr. Wang ( with the email 
subject “Position Application”. 
Contact Information:
Please mention the CFD Jobs Database, record #16771 when responding to this ad.
NameYi Wang
Email ApplicationYes
Address300 MAIN ST A224
Mechanical Engineering
Record Data:
Last Modified21:41:58, Sunday, September 27, 2020

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